Supervised and Semi-supervised Event Detection with Local Spatio-Temporal Features

This thesis deals with various aspects of the analysis of video sequences. The first problem this work deals with is the detection of known categories of events. The second problem this work addresses is the retrieval of events of interest regardless of their specific nature. Finally we propose a method that can leverage both semantic high level features and low level image features to reduce the disk space and bandwidth needed.